School of Medicine


Showing 51-89 of 89 Results

  • Shirin Pourashraf

    Shirin Pourashraf

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    Current Research and Scholarly InterestsMy working is focused on building a 100 ps CTR pre-clinical partial ring TOF-PET scanner; specifically, by exploring, and designing high speed low noise/jitter instrumentation, and data acquisition.
    I am also designing an scalable side-readout electronic to detect Cherenkov radiation and improve TOF resolution in PET detectors using BGO crystals.

  • Shobha Regmi

    Shobha Regmi

    Postdoctoral Scholar, Radiology

    BioResearch interest: Mesenchymal stem cell transplantation, Stem cell biology, Islet transplantation, Biomaterials, Drug delivery

  • Angelie Rivera Rodriguez

    Angelie Rivera Rodriguez

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    BioAngelie Rivera Rodriguez received her B.S. in Industrial Biotechnology at the University of Puerto Rico - Mayagüez. She then moved to the U.S.A., where she earned her Ph.D. in Biomedical Engineering at the University of Florida under the supervision of Dr. Carlos Rinaldi-Ramos. Her thesis was focused on biomedical applications of iron oxide magnetic nanoparticles for cancer thermal treatment and cell tracking using Magnetic Particle Imaging. In Summer 2022, Angelie joined Stanford University as a postdoctoral scholar under the supervision of Dr. Katherine Ferrara and Dr. Michelle James working at the intersection of nanomedicine and medical imaging.

  • Sushruta Surappa

    Sushruta Surappa

    Postdoctoral Scholar, Radiology

    BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.

  • Zahra Shokri Varniab

    Zahra Shokri Varniab

    Postdoctoral Scholar, Radiology

    BioZahra Shokri Varniab, MD, studied medicine at Tehran University of Medicine Sciences, Iran, and earned her medical degree in 2020. Her goal in novel cellular and molecular imaging is to develop novel in vivo imaging approaches to visualize, characterize and quantify molecular and cellular processes involved in developing osteosarcoma and arthritis. She intends to utilize non-invasive imaging techniques to assess tumor-associated macrophages (TAMs) to understand their role in cancer, develop a method for determining tumor profiles, selecting patients for individualized immunotherapy, and monitoring their results. She hopes cancer to be history.

  • Peyman Shokrollahi

    Peyman Shokrollahi

    Postdoctoral Scholar, Radiology

    BioDr. Shokrollahi is a research scholar at the Department of Radiology, with a research focus on developing an artificial intelligence system for preimage protocols on magnetic resonance imaging (MRI) and computerized tomography (CT) scans. He completed his PhD at the University of Toronto (UofT) in Biomedical Engineering before moving to the Radiology Department in 2020. He earned his master's and a bachelor's degree in Electrical and Computer Engineering. His research focused on developing magnetically actuated devices, MRI-compatible surgical robots, and machine learning techniques for medical applications. He developed and implemented a magnetically actuated microrobot for sampling microbiome in the gastrointestinal tract, an MRI-compatible robot for pediatric bone biopsy, and an automated system for detecting eye movements during sleep. In addition to research, Dr. Shokrollahi taught four courses at the undergraduate and graduate level at UofT and Ryerson University, Toronto, Canada. He is a member of the International Society for Magnetic Resonance in Medicine.

  • Muhammad Nasir Ullah

    Muhammad Nasir Ullah

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    BioMuhammad Nasir Ullah has received a BS degree in Electronic Engineering from International Islamic University, Islamabad (IIUI) Pakistan in Jun 2012 and an integrated MS + Ph.D. degree in Bio-Convergence Engineering from Korea University, Seoul, South Korea under the supervision of Professor Jung-Yeol Yeom in Feb 2020. His Ph.D. thesis was focused on detector design for Nuclear Medicine (NM) system and NM-Ultrasound hybrid systems.
    His area of research interest is radiation detection and measurement for medical applications. He has been working on detector design for Positron Emission Tomography (PET) system, intraoperative gamma probe detector, beta/gamma discrimination, and hybrid Ultrasound-gamma probe. He has also been working on frontend discrete circuit designs for various types of radiation and Ultrasound (US) detectors. He has published 6 peer-reviewed articles as the first author while 2 as co-author. He also has 4-patents under his name in S. Korea.

  • Rogier van der Sluijs

    Rogier van der Sluijs

    Postdoctoral Scholar, Radiology

    BioI am a postdoc at the Center for Artificial Intelligence in Medicine & Imaging (AIMI) at Stanford University. As a medical doctor, epidemiologist, and scientist, my aim is to optimize healthcare through predictive modeling with a focus on deep learning in medical imaging.

    Prior to joining AIMI, I obtained a PhD at the Department of Trauma Surgery at the University of Utrecht in the Netherlands. During my PhD, I developed mobile and desktop applications with integrated machine learning models (the Trauma Triage App) to aid field triage of trauma patients on the scene of injury. In addition, I worked on various deep learning projects, including fracture detection, localization, and classification, semantic segmentation of videos from robot-assisted surgery, and NLP-related projects.

  • Alexander Wilson

    Alexander Wilson

    Postdoctoral Scholar, Radiological Sciences Laboratory

    BioDr Wilson completed a Bachelor of Science in Biomedical Science (University of Auckland, New Zealand, 2007), and a Postgraduate Diploma in Medical Sciences (UoA, 2008).

    He then changed his focus to engineering and applied mathematics, and completed a Masters of Operations Research (UoA, Faculty of Engineering, 2011). In his Master's thesis, he developed a mixed-integer linear formulation for determining optimal electricity distribution tariffs under a range of power generation conditions.

    Dr Wilson then switched focus back to Biomedical Sciences and completed a PhD in Bioengineering with a joint appointment in the Department of Physiology and the Auckland Bioengineering Institute. His Doctoral thesis (2018) focused on the physiology and biomechanics of cardiac remodeling underpinning heart failure.

    During his first Postdoctoral position (University of South Florida Heart Institute, 2018-2019), Dr Wilson developed nanoparticle therapies for myocardial ischemia-reperfusion injury, as well as anti-thrombin nanoparticles to reduce thrombus formation while limiting bleeding risk.

    Dr Wilson is currently a member of the Cardiac MRI Research Group at Stanford University (PI: Professor Daniel Ennis), and works on a range of projects including (i) using tissue clearing techniques to understand the fundamental branching structure of the myocardium (ii) developing new diffusion tensor MRI reconstruction techniques for extracting cardiac microstructure and pathology (iii) using MRI and histology to understand the myocardial structural and functional improvements brought about by ACE inhibitor treatment.

    2022 WORK
    ● Wilson et al "Myocardial Mesostructure and Mesofunction" [2022 AJP-H&C]
    ● Wilson et al "Restored Torsion and Longitudinal Strain in ACE Inhibitor Treated Hypertension" [2022 ISMRM]
    ● Wilson et al "Assessment of Microstructural Remodeling in Myocardial InfarctionUsing Advanced Diffusion Metrics" [2022 SCMR]

    2021 WORK
    ● Wilson et al "Graph-based Analysis Of Cardiomyocyte Network Connectivity" [2021 AHA:SS]
    ● Wilson et al "Collagen Remodeling Of Spontaneously Hypertensive Rats Undergoing Quinapril Treatment Measured By Three Dimensional Shape Analysis" [2021 BCVS]
    ● Wilson et al "Analysis of Location-Dependent Cardiomyocyte Branching" [2021 FIMH]
    ● Wilson et al "Microstructure-Based Simulation of Myocardial Diffusion Using Extended Volume Confocal Microscopy" [2021 ISMRM]
    ● Wilson et al "ACE Inhibitor Treatment Normalizes Apparent Diffusion Coefficient in Spontaneously Hypertensive Rats" [2021 SCMR]

    2020 WORK
    ● Wilson et al "Relationship Between Myocyte Branching and Location Within Myocardial Sheetlet" [2020 AHA:SS]
    ● Wilson et al "Comparison of MRI-Derived Left Ventricular End-Diastolic Pressure-Volume Relationship with Ex Vivo Measurements" [2020 VPH]
    ● Wilson et al "Myocardial Laminar Organization Is Retained in Angiotensin-Converting Enzyme Inhibitor Treated SHRs" [2020 Exp Mech]
    ● Wilson et al "Formulation and Characterization of Antithrombin Perfluorocarbon Nanoparticles" [2020 Methods]

  • Zhen Xiao

    Zhen Xiao

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment

  • Zijian Yang

    Zijian Yang

    Postdoctoral Scholar, Radiology

    BioI have long term interest in combining advanced science and technology to provide next generation healthcare system.

    To reach that goal, I have developed machine learning based diagnosis model on the software end, which is combined with my hardware end work including wearable/flexible electronics and microelectronic/microfludic platforms.

  • Alaa Talaat Youssef

    Alaa Talaat Youssef

    Postdoctoral Scholar, Radiology

    BioDr.Youssef is a postdoctoral fellow at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), in the Department of Radiology. She received her Doctor of Philosophy (PhD) degree in Population Health and Medical Education from the Institute of Medical Science, University of Toronto in 2021, Canada. Her research interests lies at the intersection of artificial intelligence (AI) implementation and clinical evaluation. She works with multi-disciplinary research teams to assess, design, develop, and implement person-centered AI solutions that address a clinical need. Her research addresses the ethical, organizational, and workflow barriers that impede clinical adoption of AI in healthcare. Dr. Youssef co-leads the development of several AI educational programs that centers on building capacity for AI research by training diverse group of learners to facilitate safe and responsible use of AI in healthcare for public good.

  • Moss Zhao

    Moss Zhao

    Postdoctoral Scholar, Radiology

    BioDr. Moss Zhao is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging led by Drs. Greg Zaharchuk and Michael Moseley. He develops cutting-edge and clinically viable imaging technologies to improve the diagnosis and treatment of cerebrovascular diseases across the lifespan. His specific areas of expertise include physiological modeling, arterial spin labeling, Bayesian inference, PET/MRI, and artificial intelligence. His scientific contributions could significantly improve the early detection of strokes and dementia as well as enrich the knowledge of brain development in the first two decades of life.

    Dr. Zhao received his DPhil at St Cross College of University of Oxford under the supervision of Prof. Michael Chappell. As an alumni mentor, he supports the career development of students of his alma mater. Since 2016, he has presented his work to more than 3000 delegates at international conferences and held leadership positions in professional societies. His research and teaching are supported by the American Heart Association, the National Institutes of Health, and the European Cooperation in Science and Technology.